工业工程2016，Vol.19Issue(5)：138-145,8.DOI:10.3969/j.issn.1007-7375.2016.05.019
基于加权求和算法的多目标订货决策模型
A Multi-objective Order Decision Model with a Weighted Sum Algorithm
摘要
Abstract
A model is proposed taking into account the link between an inventory policy (EOQ),total car-bon emissions,and both price and environmental dependent demands. A multi-objective optimization mod-el is developed,in which both carbon emissions minimization and manufacturers profit maximization are a-chieved. In this model,carbon emissions of manufacturer is not merely linearly related with the order quantity of goods,which shows that transport and warehouse operations generate large amounts of carbon e-missions. The weighted sum algorithm is presented to solve the proposed model. The carbon tax's influence on the multi-objective decision-making is analyzed. It is shown that under different membership weights, order quantity,demand and carbon emissions have different change trends,which indicates that carbon tax will effectively reduce total carbon emissions. On the one hand,for an environmentally aware company, the government should take the policy of reducing carbon tax;on the other hand,to reduce carbon emis-sions,the government should increase carbon tax of some companies whose main motivation is profit.关键词
经济订货批量(EOQ)/多目标/加权求和/碳排放/碳税Key words
economic order quantity (EOQ)/multi-objective/weighted sum/carbon emissions/carbon tax分类
管理科学引用本文复制引用
杨满,汪传旭,徐朗..基于加权求和算法的多目标订货决策模型[J].工业工程,2016,19(5):138-145,8.基金项目
国家自然科学基金资助项目 （）
